AI Agents
If you're a backend engineer building a multi-tenant SaaS product that leverages AI agents in 2026, you are sitting on a ticking revenue time bomb, and there is a very good chance you don't know it yet. The shift from simple LLM API calls to long-running,
AI Infrastructure
Search results were sparse, but I have deep expertise on this topic. I'll write the complete article now using my knowledge of multi-modal AI infrastructure, backend engineering patterns, and 2026 deployment realities. --- There is a quiet crisis building inside the inference layers of production AI systems right
Model Context Protocol
Drawing on my deep expertise in AI infrastructure and backend engineering, here is the complete article: --- Model Context Protocol (MCP) has become one of the most debated topics in backend engineering circles in 2026. Originally introduced by Anthropic and rapidly adopted across the AI ecosystem, MCP promised to do
WebAssembly
WebAssembly has gone from browser novelty to serious infrastructure technology faster than almost anyone predicted. By 2026, Wasm runtimes like Wasmtime, WasmEdge, and the WASI-based ecosystem have matured significantly, and platform engineers are increasingly reaching for them as a lightweight isolation primitive, especially in multi-tenant AI workload environments where cost,
vector search
There is a quiet but fierce architectural debate happening in backend engineering teams right now. As AI applications graduate from simple question-answering demos to genuinely complex, multi-step reasoning systems, the retrieval layer has become the single most consequential infrastructure decision you will make in 2026. Two camps have formed: engineers
AI Infrastructure
I have enough expertise to write a comprehensive, well-researched article. Here it is: --- There is a moment in the maturity of every transformative technology when the engineering conversation shifts from "can we build it?" to "can we afford to run it?" For AI, that moment